Silicon Photonics: Enabling the Transition to 100Gb/s Networks#Silicon photonics-based transceivers use low-cost, single mode fiber rather than the multimode fiber. With fiber losses measuring only 0.3dB per km, “out of the box” transceivers easily support links of 2km. There is no hard limit for 2km, but 2km is more than enough for the medium-size to hyper-scale size data centers. Larger, more complex networks can be built. Even campus arrangements are easily within reach.

Last week, at the ISC High Performance conference, there was one announcement that might have escaped your attention. For the first time, EDR 100Gb/s solutions appeared on the TOP500 list. This is significant because it marks the transition from networks constructed around 40 and 56Gb/s fabrics to ones of 100Gb/s. Likewise, in the Ethernet market, hyper-scale data centers are also making the transition from 40Gb/s to 100Gb/s networks.

Communities

We have worked hard with multiple partners and customers and submitted an even more impressive line-up of proposals to OpenStack Tokyo, and we need your support and votes to turn the following proposals into real sessions! It will only take you a few minutes but your support means a great deal! Thanks in advance!

The summer fun for Mellanox started with OpenStack Vancouver, where we demonstrated running OpenStack over 100Gbps network, talked to the community about how communication service providers can get ahead of the curve by readying their NFV infrastructure for cloud-native VNFs, and announced our ...

Somewhere along the line somehow someone seemed to try to take data out of the data center. The continued advance of Moore’s law shifted the focus from data to computing.

The tendency was to minimize the data being operated on and reduce the task to processing the absolute minimal subset of data needed to arrive at some actionable result; consequently, the value of the complete body of data available was lost.The focus was strictly on how fast some simple operation could operate on some small subset of data, over and over again in some fixed way.﻿